RequestHunt is a community-driven platform that collects and curates feature requests from X (Twitter), Reddit, and GitHub. We help product teams discover what features real users are asking for, making it easier to validate product ideas and prioritize feature development based on actual user demand.

How does RequestHunt collect feature requests?

RequestHunt uses AI-powered extraction to automatically collect feature requests from social media platforms including X, Reddit, and GitHub. The platform monitors discussions, issues, and posts to identify genuine user feature requests, extracting key information like the requested feature, product mentioned, and user sentiment.

Who uses RequestHunt?

RequestHunt is used by product managers, founders, developers, and product teams who want to discover what features real users are requesting. It's particularly valuable for startups looking to validate ideas, established companies prioritizing their roadmap, and developers building products that solve real user problems.

Is RequestHunt free to use?

Yes, browsing and searching feature requests on RequestHunt is completely free. We also offer API access for developers who want to integrate feature request data into their own applications. Check our pricing page for API plan details.

How often is RequestHunt data updated?

RequestHunt continuously collects feature requests from Reddit, X (Twitter), and GitHub. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

[StockFind] Add AI-powered stock analysis tab with data-connected insights

Add a new 'AI Analysis' tab to the stock detail page. This tab should provide AI-generated qualitative analysis, including investment thesis, growth drivers, risk analysis, and competitive landscape, all data-connected to StockFind. This addresses the current lack of qualitative analysis and helps declutter the main stock detail page.

Original Source

@@ruchernchong | 0 pts | 2/19/2026

**Is your feature request related to a problem? Please describe.** The stock detail page lacks qualitative analysis — investment thesis, growth drivers, risk analysis, and competitive landscape. Users must go elsewhere for these insights. Additionally, the stock detail page is getting cluttered and needs tab-based navigation. **Describe the solution you'd like** Add a new **AI Analysis** tab to the stock detail page with AI-generated qualitative analysis that is **data-connected** to StockFind's existing quantitative analysis. Pro tier. This introduces page-level tabs: **Overview** (current content) + **AI Analysis** (new, Pro). ### Analysis Sections **1. Investment Thesis (Bull & Bear)** - 3 bull points + 3 bear points - Each references specific financial data (e.g., "Revenue CAGR of 35% over 5 years, outperforming the Technology sector benchmark of 12%") - Framed as "potential considerations" not recommendations (SEC compliance) **2. Growth Catalysts** - 3 key growth drivers gro

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